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Chouhan, Kuldeep
- Data Self-Healing Technique Using ASIC Level Security Mechanisms
Authors
1 St.Peters University, Chennai, IN
2 Department of ECE, Dr. M.G.R. University, Chennai-600 095, IN
3 Dr. MGR University, Chennai, IN
4 Department of ECE, SR Engineering College, Warangal, IN
Source
Programmable Device Circuits and Systems, Vol 3, No 7 (2011), Pagination: 329-335Abstract
Computers have a plethora of different applications, spread over a wide spectrum of different branches such as electronic fund transfers, air traffic control, and storage of information in medical systems and so on. In all these security is an important aspect of any operating system and access of information to only properly authorized individuals or processes through the use of special security features should be ensured. The main objective of the proposed self healing scheme is to share and secure the information of any system at the same time. However, sharing and protection are two contradictory goals. Protection programs may be completely isolated from each other by executing them on separate non-networked computer, however, this precludes sharing. The proposed work provides data security based on Dynamic Information Flow Tracking by keeping track of the modified capabilities of the resources. A novel feature of this work is that the proposed architecture allows passive threats to co-exist, thus, making the architecture more user-friendly.Keywords
Self-Healing, ASIC, Data Security, PCI Bus, Snoop Cycle.
- Image Processing using Wavelet Transform Based Noise Removal Filter
Authors
1 Dhanalakshmi College of Engg, Chennai, Tamilnadu, IN
2 Dhanalakshmi College of Engg., Chennai, Tamilnadu, IN
3 Research Division, GE(Energy), IN
4 Dr. MGR University, Chennai-95, Tamilnadu, IN
Source
Digital Image Processing, Vol 4, No 11 (2012), Pagination: 579-583Abstract
Image processing schemes which exhibits flexibility, adaptability and non-linearity are extremely useful for applications such as image transformation, correction of blurring effects, noise removal, histogram equalization etc. Images with random variations in Signal-to-Noise Ratio (SNR) can be treated with conventional adaptive filters. The demerits associated with adaptive filters are inability to cope with structural variations, limited performance to address low range noise spatial density (typically less than 0.2). This paper addresses these disadvantages and proposes a wavelet transform based filtering scheme for image processing. This scheme uses Peak Signal-to-Noise Ratio (PSNR) as performance metric and the results shows a higher PSNR was yielded by the scheme.
Keywords
Image Processing, Wavelet Transform (WT), Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR).- Intelligent Agent System and Their Implementation–A Case Study on Tsunami Early Warning System (TEWS)
Authors
1 Dr. MGR Educational and Research Institute University, Chennai - 600095, IN
2 Dhanlakshmi College of Engineering, Chennai - 601301, IN
3 Aarupadai Veedu Institute of Technology, Kancheepuram-603104, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 2 (2013), Pagination: 53-59Abstract
An Intelligent Agent System (IAS) is a structure, which is used in network environment through huge number of agent systems accomplish simultaneously in analogous on the same host with synchronous communication. An agent is an encapsulated system that is situated in some environment that is capable of flexible, autonomous action on behalf of user environment. In this study, Tsunami Early warning system (TEWS), which is focusing on procedure and mechanisms to assure the hazard of people to be alert in time and proficient to perform in a appropriate reaction as a warning in timely manner. In this paper, the result shows throughput average rate of message delivery over a physical link through a network over a communication channel that delivers data packets. It evaluates load packets which are represented in arrival rate (λ) and the throughput rate (μ).
Keywords
Intelligent System, Multiagent System (MAS), Tsunami Early Warning System (TEWS), Synchronous Communication, Asynchronous Communication.- Collisionless Data Transmission to Improve Throughput Using Additive Links On-line Hawaii Area Technique With Timeslot Communication
Authors
1 Department of Computer Science and Engineering, St. Peter’s University, Chennai - 600054, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Shri Andal Alagar College of Engineering, Chennai - 603111, Tamil Nadu, IN
3 Department of Computer Science and Engineering, St. Mary’s Group of Institutions Hyderabad - 508284, Telangana, IN
Source
Indian Journal of Science and Technology, Vol 9, No 36 (2016), Pagination:Abstract
The wireless sensor network forms a topology and transmits data reverse to the information collectors. Objectives: The cost and performance are optimized to check the throughput rate that should improve the data transmission rate. Based on the information flow tracking, the data dependencies among information objects should be reduced. Tags should be associated with input nodes and elevate the processing on output node data. Methods: The method is presented in this paper: the individual nodes communicate with the server in collision free mode and improve the strength of data transmission rate with reliable and compatible data. The network topology control is to uphold the data propagation and improve the network connectivity to provide reliable service. Findings: The network system is evaluated for altering the statistics arrival rate (as percentage) of the server node that arrive each second, and the number of requests waiting in the buffer as demonstrated in graphical presentation. Improvements: ALOHA mechanism is competent technique to synchronize the node intermediate access among the contending nodes in the network.Keywords
ALOHA, Collision-less Data, Network Encoding, Throughput Improvement, Timeslot Communication (TSC).Full Text
